Fangfang Zhou,Jiapeng Mi,Beiwen Zhang et al.
Fangfang Zhou et al.
Knowledge graph (KG) fact prediction aims to complete a KG by determining the truthfulness of predicted triples. Reinforcement learning (RL)-based approaches have been widely used for fact prediction. However, the existing approaches largel...
Application and prospects of AI-based radiomics in ultrasound diagnosis [0.03%]
基于人工智能的影像组学在超声诊断中的应用及前景分析
Haoyan Zhang,Zheling Meng,Jinyu Ru et al.
Haoyan Zhang et al.
Artificial intelligence (AI)-based radiomics has attracted considerable research attention in the field of medical imaging, including ultrasound diagnosis. Ultrasound imaging has unique advantages such as high temporal resolution, low cost,...
Focus-RCNet: a lightweight recyclable waste classification algorithm based on focus and knowledge distillation [0.03%]
基于注意力和知识蒸馏的轻量化可回收垃圾分类算法:focus-rcnet
Dashun Zheng,Rongsheng Wang,Yaofei Duan et al.
Dashun Zheng et al.
Waste pollution is a significant environmental problem worldwide. With the continuous improvement in the living standards of the population and increasing richness of the consumption structure, the amount of domestic waste generated has inc...
Novel 3D local feature descriptor of point clouds based on spatial voxel homogenization for feature matching [0.03%]
一种基于空间体素同质化的点云局部特征描述子及其匹配方法研究
Jiong Yang,Jian Zhang,Zhengyang Cai et al.
Jiong Yang et al.
Obtaining a 3D feature description with high descriptiveness and robustness under complicated nuisances is a significant and challenging task in 3D feature matching. This paper proposes a novel feature description consisting of a stable loc...
Discrimination between leucine-rich glioma-inactivated 1 antibody encephalitis and gamma-aminobutyric acid B receptor antibody encephalitis based on ResNet18 [0.03%]
基于ResNet18区分LEDA和GABRAEn的深度学习模型研究
Jian Pan,Ruijuan Lv,Qun Wang et al.
Jian Pan et al.
This study aims to discriminate between leucine-rich glioma-inactivated 1 (LGI1) antibody encephalitis and gamma-aminobutyric acid B (GABAB) receptor antibody encephalitis using a convolutional neural network (CNN) model. A total of 81 pati...
Hyperparameter optimization for cardiovascular disease data-driven prognostic system [0.03%]
心血管疾病数据驱动的预后系统的超参数优化
Jayson Saputra,Cindy Lawrencya,Jecky Mitra Saini et al.
Jayson Saputra et al.
Prediction and diagnosis of cardiovascular diseases (CVDs) based, among other things, on medical examinations and patient symptoms are the biggest challenges in medicine. About 17.9 million people die from CVDs annually, accounting for 31% ...
Survey of methods and principles in three-dimensional reconstruction from two-dimensional medical images [0.03%]
基于医学二维图像三维重建的方法和原理综述
Mriganka Sarmah,Arambam Neelima,Heisnam Rohen Singh
Mriganka Sarmah
Three-dimensional (3D) reconstruction of human organs has gained attention in recent years due to advances in the Internet and graphics processing units. In the coming years, most patient care will shift toward this new paradigm. However, d...
Vision transformer architecture and applications in digital health: a tutorial and survey [0.03%]
视觉变换器在数字健康中的架构与应用：教程和综述
Khalid Al-Hammuri,Fayez Gebali,Awos Kanan et al.
Khalid Al-Hammuri et al.
The vision transformer (ViT) is a state-of-the-art architecture for image recognition tasks that plays an important role in digital health applications. Medical images account for 90% of the data in digital medicine applications. This artic...
DB-DCAFN: dual-branch deformable cross-attention fusion network for bacterial segmentation [0.03%]
DB-DCAFN：双分支可变形交叉注意融合网络在细菌分割中的应用
Jingkun Wang,Xinyu Ma,Long Cao et al.
Jingkun Wang et al.
Sputum smear tests are critical for the diagnosis of respiratory diseases. Automatic segmentation of bacteria from sputum smear images is important for improving diagnostic efficiency. However, this remains a challenging task owing to the h...
Chuang Niu,Ge Wang
Chuang Niu